James is a graduate student in the department of Mechanical Engineering. He received a B.Eng. in Mechanical Engineering from McGill University in 2015, and an M.S. in Mechanical Engineering from Stanford University in 2017. James’ research interests include control theory, robotics, and machine learning. In particular, his current work focuses on verifiably safe and robust methods for reinforcement learning, as well as unsupervised learning and representation learning in robotic task and motion planning.
- Office of Technology Licensing Stanford Graduate Fellowship
- National Sciences and Engineering Research Council (NSERC) Doctoral Scholarship